Anahita Fathi Kazerooni1, 2, Leila Torbati3, Mahrooz Malek3, Hamidreza Saligheh Rad1, 2
1Quantitative MR Imaging and Spectroscopy Group, Research Center for Cellular and Molecular Imaging, Tehran University of Medical Sciences, Tehran, Iran; 2Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran; 3Imaging Center, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran
Typically, quantification of DCE-MRI of ovary is susceptible to errors caused by motion artifacts and intensity inhomogeneity induced by bias fields. Motion artifacts and bias fields introduce signal intensity variations in the images that must be resolved from intensity changes caused by the passage of contrast agent. Thus, registration of DCE-MRI image sequence is a challenging issue. In this work, we proposed a solution to the misregistration problem of DCE-MR images, by exploiting residual complexity (RC) similarity measure, to account for complex intensity variations in a non-rigid registration approach and for precise quantification of DCE-MRI to characterize ovarian masses.